Instructions to use WindyWord/translate-fi-mh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-mh with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyWord/translate-fi-mh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-mh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba6202eaf31ee1694b1df0effdceab9a1e4a81638eee125aa587a9899aaf0bfa
- Size of remote file:
- 74.3 MB
- SHA256:
- 0302176c0ee2f86eed693543bf4ffe27c8e4473d0499a6fba7fc1bf2b7dc8a85
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